基于有色Petri网的750kV变电站故障诊断研究
[Abstract]:The Northwest 750kV interconnection project is an ultra-high voltage transmission and transformation project. It has the characteristics of large scale, long transmission line, high voltage, large units and close interconnection. It is the key part of transmitting various forms of electric energy in Northwest China. 750kV substation acts as its core link. The degree of intelligence is becoming higher and higher, and more monitoring devices are used. The topology and protection configuration are complex and cumbersome compared with the general substation and transmission network. Once failure occurs, there will be a large number of alarm information, and there are many kinds of information, redundant information interference and various uncertain information will cause great difficulties for operators to analyze and judge. Therefore, it is of great significance to study the fault diagnosis model and system of substation in order to quickly diagnose the fault and provide the basis for fault recovery, which is of great significance to ensure the safe and effective operation of the whole network project. The main contents of this paper are as follows: (1) aiming at the problems of establishing large model, complicated logic and weak generality in the fault diagnosis research of 750kV substation based on Petri net, combined with the configuration of double network and double protection in 750kV substation. A fault diagnosis method for 750kV substation based on colored Petri net is proposed. The method compresses the same type of library horizontally and vertically with the same structure transition, and represents the protection and circuit breaker with monochromatic and composite colors at the same time. Thus, the information of component protection circuit breaker can be classified and processed clearly. The idea of layer and network is adopted in the model and reasoning, which is divided into four layers: information transformation layer, information comparison layer, information diagnosis layer and information integration layer, which makes the model establishment and reasoning simple and clear. At the same time, it is applied to the main network and redundant network. Finally, the coupling network is obtained by coupling the two networks. The simulation results show that the method can get correct results for both single and multiple faults of 750 kV substation, and the reasoning speed is fast, the model is simple, and its structure is not changed by protection configuration and voltage grade. (2) in view of the fault diagnosis of 750kV substation, the colored Petri net is easy to appear the diagnosis error when the fault diagnosis is not complete, and the reliability of the diagnosis when the protection is not in the wrong operation can not be reflected. In this paper, a fault diagnosis method based on improved colored Petri nets is proposed, which focuses on the classification of protection information and the transformation of the inherent logic relationship with the circuit breaker to obtain the true information representing the state of the circuit breaker. At the same time, fuzzy factor 位 is introduced into colored Petri net, which contains confidence attribute w, which solves the problem of reliability decline and uncertainty of symptom information. By the evolution of transition identification states, the whole improved colored Petri net is represented by layers, and the diagnosis results of the main network and redundant net are solved, and the final diagnosis results are obtained by coupling. Through the simulation of single and multiple faults, the fault symptom information is expressed clearly, the model structure is simple, the scale is small, the applicability is strong, and it can solve the uncertain problems such as missing information and maloperation.
【学位授予单位】:兰州交通大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM63
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